{"Package":"exceedProb","Version":"0.0.1","Date":"2019-08-25","Title":"Confidence Intervals for Exceedance Probability","Description":"Computes confidence intervals for the exceedance probability of normally distributed estimators. Currently only supports general linear models. Please see Segal (2019) for more information.","Depends":"R (>= 3.1)","Imports":"Rcpp (>= 1.0.2)","LinkingTo":"Rcpp, BH","Authors@R":"person(given = \"Brian D.\", family = \"Segal\", email = \"segal.brian@gmail.com\", role = c(\"aut\", \"cre\"))","Author":"Brian D. Segal [aut, cre]","Maintainer":"Brian D. Segal ","License":"GPL (>= 3)","URL":"https://github.com/bdsegal/exceedProb","LazyData":"true","RoxygenNote":"6.1.1","NeedsCompilation":"yes","Packaged":"2019-08-25 13:41:30 UTC; bsegal","Repository":"CRAN","Date/Publication":"2019-08-27 07:50:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/exceedProb_0.0.1.tar.gz","jsonAuthors":[{"name":"Brian D. Segal","email":"segal.brian@gmail.com","maintainer":true}],"readme":"# exceedProb\nThis R package computes exceedance probabilities and associated confidence intervals. It currently only supports general linear models.\n\n## Installation\n\n```{r}\ninstall.packages(\"exceedProb\")\n```\n\n## Examples\n\n```{r}\nlibrary(exceedProb)\n\n# Sample mean -----------------------------------------------------------------\nn <- 100\nx <- rnorm(n = n)\n\ntheta_hat <- mean(x)\nsd_hat <- sd(x)\n\ncutoff <- seq(from = theta_hat - 0.5, to = theta_hat + 0.5, by = 0.1)\n\nexceedProb(cutoff = cutoff, \n theta_hat = theta_hat, \n sd_hat = sd_hat, \n alpha = 0.05, \n d = 1,\n n = n,\n m = n)\n\n# Linear regression -----------------------------------------------------------\nn <- 100\nbeta <- c(1, 2)\nx <-runif(n = n, min = 0, max = 10)\ny <- rnorm(n = n, mean = cbind(1, x) %*% beta, sd = 1)\n\nj <- 2\nfit <- lm(y ~ x)\ntheta_hat <- coef(fit)[j]\nsd_hat <- sqrt(n * vcov(fit)[j, j])\n\ncutoff <- seq(from = theta_hat - 0.5, to = theta_hat + 0.5, by = 0.1)\n\nexceedProb(cutoff = cutoff, \n theta_hat = theta_hat, \n sd_hat = sd_hat, \n alpha = 0.05, \n d = length(beta),\n n = n,\n m = n)\n```\n\n## References\n\nSegal, B. D. (submitted). Towards replicability with confidence intervals for the exceedance probability.","jobInfo":{"package":"exceedProb","version":"0.0.1","parsingStatus":"success","parserVersion":1,"parsedAt":"2019-08-27T10:30:29+0000"}}

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